Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 396842

Modelling of Integrated Circuit Conducted Electromagnetic Immunity by Artificial Neural Networks


Čeperić, Vladimir; Barić, Adrijan
Modelling of Integrated Circuit Conducted Electromagnetic Immunity by Artificial Neural Networks // Proc. 20th Int. Zurich Symp. Electromagnetic Compatibility / Ruediger Vahldieck (ur.).
Zürich: ETH Zurich, 2009. str. 373-376 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 396842 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Modelling of Integrated Circuit Conducted Electromagnetic Immunity by Artificial Neural Networks

Autori
Čeperić, Vladimir ; Barić, Adrijan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proc. 20th Int. Zurich Symp. Electromagnetic Compatibility / Ruediger Vahldieck - Zürich : ETH Zurich, 2009, 373-376

ISBN
978-3-9523286-6-8

Skup
EMC Zurich 2009 - 20th International Zurich Symposium on Electromagnetic Compatibility

Mjesto i datum
Zürich, Švicarska, 12.01.2009. - 16.01.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Conducted Electromagnetic Compatibility; Artificial Neural Networks; Modelling of Electronic Circuits

Sažetak
A simple and efficient method of modelling electromagnetic immunity (EMI) of integrated circuits (IC) with respect to conducted electromagnetic interference by using artificial neural networks (ANN) is presented. A pulse signal generator is controlled by an ANN to improve stability, robustness and accuracy of the model. A simple and effective way to obtain necessary data for learning the artificial neural network used in EMI modelling is presented. The methodology described in this paper ensures a simple, fast and accurate modelling. As a test case, the EMI model of conducted interference of a simple local interconnect network (LIN) interface circuit is presented.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
036-0361621-1622 - Kvaliteta signala u integriranim sklopovima s mješovitim signalom (Barić, Adrijan, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Adrijan Barić (autor)

Avatar Url Vladimir Čeperić (autor)


Citiraj ovu publikaciju:

Čeperić, Vladimir; Barić, Adrijan
Modelling of Integrated Circuit Conducted Electromagnetic Immunity by Artificial Neural Networks // Proc. 20th Int. Zurich Symp. Electromagnetic Compatibility / Ruediger Vahldieck (ur.).
Zürich: ETH Zurich, 2009. str. 373-376 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Čeperić, V. & Barić, A. (2009) Modelling of Integrated Circuit Conducted Electromagnetic Immunity by Artificial Neural Networks. U: Ruediger Vahldieck (ur.)Proc. 20th Int. Zurich Symp. Electromagnetic Compatibility.
@article{article, author = {\v{C}eperi\'{c}, Vladimir and Bari\'{c}, Adrijan}, year = {2009}, pages = {373-376}, keywords = {Conducted Electromagnetic Compatibility, Artificial Neural Networks, Modelling of Electronic Circuits}, isbn = {978-3-9523286-6-8}, title = {Modelling of Integrated Circuit Conducted Electromagnetic Immunity by Artificial Neural Networks}, keyword = {Conducted Electromagnetic Compatibility, Artificial Neural Networks, Modelling of Electronic Circuits}, publisher = {ETH Zurich}, publisherplace = {Z\"{u}rich, \v{S}vicarska} }
@article{article, author = {\v{C}eperi\'{c}, Vladimir and Bari\'{c}, Adrijan}, year = {2009}, pages = {373-376}, keywords = {Conducted Electromagnetic Compatibility, Artificial Neural Networks, Modelling of Electronic Circuits}, isbn = {978-3-9523286-6-8}, title = {Modelling of Integrated Circuit Conducted Electromagnetic Immunity by Artificial Neural Networks}, keyword = {Conducted Electromagnetic Compatibility, Artificial Neural Networks, Modelling of Electronic Circuits}, publisher = {ETH Zurich}, publisherplace = {Z\"{u}rich, \v{S}vicarska} }




Contrast
Increase Font
Decrease Font
Dyslexic Font